Lectures related to Linear Applications and Eigenvectors

Covers norm, scalar product, and perpendicularity in R^n, including the theorem of Pythagoras and orthogonal complements.

Covers eigenvalues, eigenvectors, and diagonalization of matrices.

Covers the properties and operations of vector spaces, including addition and scalar multiplication.

Covers matrix operations, scalar product, orthogonality, and bases in vector spaces.

Covers the properties of vectors, including commutativity, distributivity, and linearity.

Covers the concept of orthogonal complement in Rn and related propositions and theorems.